The global twenty-first century (21C) skills agenda has become a common feature in the educational policy of many countries. However, teachers can face operational, definitional and systemic barriers to the integration of 21C skills in practice. The operational barriers include insufficient teacher capacity, which in turn is influenced by…

Teaching the three-dimensional structure of saccharides has consistently been a challenging aspect of organic chemistry courses, impeding students' ability to grasp more advanced topics in biochemistry and food chemistry. In this article, we designed and developed a novel d-glucopyranose model using 3D printing technology for the first time. This…

A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…

This study advances the emerging research on shared metacognition through the lens of the community of inquiry framework. It seeks components and utterances of the community of inquiry and shared metacognition in online collaborative learning environments to bring an instructional design model to the fore. A three-cycle design-based research…

The purpose of this research is to develop the learning management model of early childhood teachers in Roi Et Province. The sample group includes early childhood teachers is obtained by selecting a simple random sample of the sample 400 people. The tools used in the research include questionnaires assessment form and learning quizzes for Primary…

This article presents an innovative and generalized CIPP evaluation model for breakdance courses based on Hiphop pedagogy, designed to help educators evaluate the design, implementation, and effectiveness of breakdance courses. Despite global interest in breakdance evaluation, few studies have focused on developing a comprehensive evaluation…

We live in an increasingly worrying future, where researchers are looking at how we can create education for a sustainable world. In this study we investigate what such education could look like, especially for young students, reinforcing hope and an ability to act and come up with ideas of sustainable solutions with no obvious 'good' solution.…

Educational tests often have a cluster of items linked by a common stimulus ("testlet"). In such a design, the dependencies caused between items are called "testlet effects." In particular, the directional testlet effect (DTE) refers to a recursive influence whereby responses to earlier items can positively or negatively affect…

The aim of research is to reveal the effect of a training program based on the TAWOCK model for teaching computational thinking skills on teaching self-efficacy among computer teachers. It used the quasi-experimental approach, with a pre-test and post-test design with a control group. An electronic training program based on the TAWOCK model was…

This paper examines the relationship between educators' epistemic character and their professional responsibilities, arguing that the role of educator carries unique epistemic obligations. Drawing on virtue epistemology and the ethics of belief, Jeff Standley contends that these obligations stem from education's core epistemic aims: cultivating…

Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…

The multiple imputation two-stage (MI2S) approach holds promise for evaluating the model fit of structural equation models for ordinal variables with multiply imputed data. However, previous studies only examined the performance of MI2S-based residual-based test statistics. This study extends previous research by examining the performance of two…

Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…

This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

Academic engagement plays a crucial role in students' learning and performance. One of the most popular measures for assessing this construct is the Utrecht Work Engagement Scale for Students (UWES-S), which is based on a tridimensional conceptualization consisting of dedication, vigor, and absorption. However, prior research on its factor…